ACTOMATE

BUSINESS MODELLING AND DATA ANALYTICS

You need professional financial advice to make good business decisions.

We can help you with business modelling, data analytics and financial projections.

Modelling + Forecasting + Simulation + Optimization = Business Success

How We Can Help You!

Business Valuation

Strategic Recommendation

Market Assessment

Use tools to holistically assess current business, strategic, financial & operational issues.

With extensive experience over the years, we can propose high level solutions to address current key business issues.

We help you to perform data analysis based on market trends, consumer behaviors and government regulations.

Download Flyer here for more information

DREAM

Risk Identification

Advice

Monitor

Diagnostics

Use tools to holistically assess current business, strategic, financial & operational issues.

Determine & communicate risks that could prevent achieving business objectives.

Evaluation

Qualitative & quantitative assessment of risks identified.

Propose high level solutions to address current key business issues.

Monitor identified risks, identify new risks & monitor execution of solutions.

DREAM is an innovative, quick & cost-effective holistic application of risk management for small local companies to manage their business to grow efficiently & effectively. DREAM can provide you with, at a high level, Diagnostics, Risk identification, Evaluation, Advice to address current issues & a plan to Monitor the development. It does not include detailed work nor detailed solutions to address current issues.

Power BI Dashboard Services

Unlock the full potential of your data with our Power BI Dashboard Services. We specialize in transforming raw business data into actionable insights through advanced analytics and predictive modeling.

With Power BI, you can seamlessly connect to multiple data sources and bring all your information into one unified, interactive dashboard. Power BI allows for real-time insights, enabling you to monitor key metrics instantly, respond quickly to changes, and make data-driven decisions with confidence.

Power BI helps automate regular reporting tasks and reduce human error, saving time and ensuring data accuracy. Our dashboards are built to identify risks, uncover opportunities, and support confident decision-making through the power of data science.

Data Analytics Solutions

descriptive analysis
predictive analysis
prescriptive analysis
data visualisation
data mining
data management
enterprise data warehouse
machine learning
deep learning

Techniques & Methodologies

generalised linear model (GLM)
piecewise regression
logistic regression
classification and regression trees (CART)
random forests
K-means clustering
hierarchical clustering
principal component analysis
neural networks
support vector machines
time series

Business Applications

R and R Shiny
PostgreSQL
Python
Microsoft Access
Microsoft Visual FoxPro
customised solutions
business practices improvement
price optimisation
customer targeting
forecasting events
forecasting profiles
cost difference models
competitor analysis
remuneration optimisation models

For any enquiries, contact:

expert in business intelligence and data analytics

Nicholas Yeo

Founder & Actuary

nicholas.yeo@actomate.ai

expert in descriptive analytics and predictive analytics

Debbie Ooi

Analytics Lead

debbie.ooi@actomate.ai

Frequently Asked Questions

Financial modelling focuses on creating a detailed representation of a company’s financial performance, often using spreadsheets to forecast revenues, expenses, profits, and cash flow. It's primarily used for decision-making, investment analysis, and budgeting.

Business modelling, on the other hand, is broader. It involves designing and analysing a company’s overall structure, strategy, and operations. This includes identifying how the business creates, delivers, and captures value, such as through its products, services, target markets, and revenue streams.

In short, financial modelling is a subset of business modelling, with a specific focus on the numbers.

Business analytics contributes to business value by turning data into actionable insights. It helps organisations make informed decisions, identify trends, optimise business processes, and improve performance. By leveraging analytics, businesses can better understand customer behaviour, reduce costs, increase efficiency, and create strategies that drive growth and profitability. Ultimately, it provides a competitive edge in today's data-driven marketplace.

To measure the success of data analytics, consider the following key factors:

1. Clear Objectives: Start by defining specific business goals or KPIs that the data analytics initiative aims to achieve, such as increased revenue, improved customer retention, or enhanced operational efficiency.

2. Actionable Insights: Evaluate whether the analytics provide meaningful insights that lead to actionable decisions and measurable outcomes.

3. Accuracy and Reliability: Assess the quality of the data and the accuracy of the analytics in predicting trends or solving problems.

4. ROI (Return on Investment): Measure whether the revenue or cost savings generated from analytics efforts outweigh the investment in business analytics tools, resources, and time.

5. Adoption Rate: Check whether stakeholders and teams are effectively utilising the data analytics tools and insights in their decision-making processes.

6. Speed and Efficiency: Analyse how quickly the analytics process delivers results and whether it streamlines decision-making.

7. Impact on Business Goals: Ultimately, the success of data analytics lies in its impact—whether it helps achieve or exceed the defined business objectives.

この言語で公開された記事はまだありません

記事が公開されると、ここに表示されます。

Business Insights with Power BI

EN | JP | CN | BM | ID